INFORMATION ANALYSIS DECISION SUPPORT SYSTEM FOR STRATEGIC PLANNING OF REGIONAL AND URBAN DEVELOPMENT

2020 ◽  
Vol 1 (11) ◽  
pp. 55-66
Author(s):  
Angela A. Shvetsova ◽  
◽  
Anna V. Zviagintseva ◽  

In practical applications, the tasks of strategic planning are complex and require many variant calculations when studying various scenarios, which are characterized by significant uncertainty in the forecast estimates. In this regard, the use of a complex of various means of information and analytical support for the activities of analysts and experts is relevant. Within the framework of this question, an information and analytical decision support system is proposed, focused on automating computational procedures in strategic planning. The system is organized on the basis of the Statistica computing platform and includes the platform's software tools, developed macros for describing and presenting statistical and analytical models, as well as decision support modules. The capabilities of the system are shown by specific examples of establishing patterns of development of Russian regions and cities in the real sector of the economy. The corresponding generalized models characterizing the state and development of regions by seven specific indicators in the period from 2012 to 2018 and by four specific indicators characterizing the development of cities in the period from 2003 to 2017 are obtained. It is established that the obtained models of collective behavior, presented in the form of equations of state, do not depend on time, but are determined only by the values of the achieved indicators. The proposed system allows you to increase the efficiency of the decisionmaking process, reduce the time and cost of developing strategic planning documents

1997 ◽  
Vol 20 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Suzanne D. Pinson ◽  
Jorge Anacleto Louçã ◽  
Pavlos Moraitis

2010 ◽  
Vol 19 (1) ◽  
pp. 123 ◽  
Author(s):  
Barbara J. Morehouse ◽  
Sara O'Brien ◽  
Gary Christopherson ◽  
Peter Johnson

One of the thorniest challenges to effective wildland fire management is integration of public perceptions and values into science-based adaptive management. One promising alternative is incorporation of public values into place-based decision support technologies that are accessible to lay citizens as well as to fire-management experts. A survey of individuals, including residents, fire and fuels managers, volunteer firefighters, and others living in or near four mountain areas of the US Southwest, identified a set of personal values and perceptions about wildland fire risk that could be spatially represented in a geographic information science-based decision support system designed for wildland fire strategic planning efforts. We define values, in this context, as phenomena that are not necessarily quantifiable but that strongly attract and connect individuals for whatever reasons to particular areas. Inclusion of this type of information into interactive decision tools for fire management may contribute to improved understanding and finer-scale spatial visualisation of public perceptions of fire risk. The integration of such factors in decision support tools offers opportunities for improving interactions between managers and the public involved in strategic planning processes for fire management.


2004 ◽  
Vol 12 (2) ◽  
pp. 91-117 ◽  
Author(s):  
Miltiadis A. Stamatopoulos ◽  
Konstantinos G. Zografos ◽  
Amedeo R. Odoni

Author(s):  
Nikitas‐Spiros Koutsoukis ◽  
Belen Dominguez‐Ballesteros ◽  
Cormac A. Lucas ◽  
Gautam Mitra

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